ZiYun Wang

Computer Vision and Pattern Recognition · with Lake · 2019

A researcher in the Science corpus: 1 paper; trusts 132 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #14,503 of 21,575 by trust here, #20,756 by citations
• Artificial Intelligence — 16 citations into it; #23,473 of 35,345 by trust here, #33,294 by citations
• Natural Language Processing — 12 citations into it; #3,717 of 5,688 by trust here, #5,502 by citations
• Multimodal Learning — 7 citations into it
• Reinforcement Learning — 5 citations into it

Whom ZiYun Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ronald J. Williams
2. Alex Graves
3. Geoffrey E. Hinton
4. Brenden M. Lake
5. Oriol Vinyals
6. Yoshua Bengio
7. Andrej Karpathy
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Ilya Sutskever

Who trusts ZiYun Wang overall

1. Brenden M. Lake
2. Laura Ruis
3. Gregory L. Murphy
4. Jacob Andreas

Papers from ZiYun Wang's perspective

Ordered by how strongly the researchers ZiYun Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Modeling question asking using neural program generation (2019) — 10 citations